IT之家 2 月 3 日消息，小米创办人、董事长兼 CEO 雷军今日宣布，小米团队的多篇最新研究成果，成功入选 ICLR 2026，研究方向涵盖多模态推理、强化 学习、GUI Agent、端到端自动驾驶以及音频生成等领域。 IT之家注：ICLR（国际学习表征会议，全称是 International Conference on Learning Representations）是人工智能领域国际顶级会议之一，由图灵奖得主 Yoshua Bengio 和 Yann LeCun 于 2013 年创立的深度学习领域学术会议，致力推动人工智能理论与方法的前沿研究与创新发展。 小米本次入选国际顶级会议 ICLR 2026 的研究成果如下： 《Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle》 强化学习已成为提升多模态语言模型推理能力的重要后训练范式。然而，现有的强化学习训练流程在训练中仍面临效率低下的问题，其根源在于 两个长期被忽视的关键现象：优势坍缩（Advan ...

Core Insights - The Seed1.6-Thinking model from Doubao achieved impressive scores in the 2025 college entrance examination, with a total score of 683 in liberal arts and 648 in sciences, indicating its strong performance across various subjects [1][2] - The model's results suggest it is competitive enough to potentially gain admission to top universities like Tsinghua and Peking University, with predictions indicating a possible score exceeding 690 in key subjects [2][3] Performance Summary - Doubao's Seed1.6-Thinking model excelled in multiple subjects, achieving the highest scores in Chinese, English, Physics, History, Geography, and Politics, with a mathematics score exceeding 140 [2] - In an international test, the model also ranked among the top performers in the JEE Advanced exam in India, showcasing its capabilities in mathematics, physics, and chemistry [3] Model Capabilities - The Seed team clarified that the model does not exhibit a bias towards specific subjects, as it demonstrated improved performance in chemistry and biology after using higher-quality test images [4] - The introduction of "dynamic thinking ability" (AutoCoT) allows the model to adapt its reasoning process, enhancing its performance while reducing unnecessary complexity in reasoning [4][6] Industry Implications - The potential of AI in the education sector, particularly in college entrance examinations, has garnered attention, with AI tools being developed to assist in decision-making for college applications [5] - The Seed1.6 model represents a significant advancement in AI capabilities, integrating multimodal understanding and deep reasoning, and is now available for API access through Volcano Engine [6]